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The use of optical flow fields in image sequence analysis allows us to perform motion-based segmentation as well as 3-D reconstruction. Many techniques for optical flow estimation are based on some global or piecewise global smoothness assumption. Other techniques compute the flow field based only on local information. A local algorithm explicitly addressing the problem of evaluating a reliable optical flow field at motion boundaries is presented. Velocity vectors are computed as solutions of a multiwindow least-squares problem; the field is then regularized by a vector median filter. The algorithm is noniterative and nonparametric. Results on both synthetic and real-world sequences are shown; a performance comparison with two well-known techniques demonstrates the effectiveness of the algorithm in terms of noise rejection, motion boundary preservation, and speed.
Franco Bartolini,Vito Cappellini,Carlo Colombo, andAlessandro Mecocci
"Multiwindow least-squares approach to the estimation of optical flow with discontinuities," Optical Engineering 32(6), (1 June 1993). https://doi.org/10.1117/12.134199
Published: 1 June 1993
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Franco Bartolini, Vito Cappellini, Carlo Colombo, Alessandro Mecocci, "Multiwindow least-squares approach to the estimation of optical flow with discontinuities," Opt. Eng. 32(6) (1 June 1993) https://doi.org/10.1117/12.134199